Making regression tables from stored estimates

Ben Jann
ETH Zurich, Switzerland

Abstract. Organizing and archiving statistical results and processing a subset of
those results for publication are important and often underestimated issues
in conducting statistical analyses. Because automation of these tasks is
often poor, processing results produced by statistical packages is quite
laborious and vulnerable to error. I will therefore present a new package
called estout that facilitates and automates some of these tasks. This new
command can be used to produce regression tables for use with spreadsheets,
LaTeX, HTML, or word processors. For example, the results for multiple
models can be organized in spreadsheets and can thus be archived in an
orderly manner. Alternatively, the results can be directly saved as a
publication-ready table for inclusion in, for example, a LaTeX document.
estout is implemented as a wrapper for estimates table but has many
additional features, such as support for mfx. However, despite its
flexibility, estout is—I believe—still very straightforward and
easy to use. Furthermore, estout can be customized via so-called defaults
files. A tool to make available supplementary statistics called estadd is
also provided.